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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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# Example Dataset for Surya OCR Finetuning
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This dataset is an example that lays out the expected format for finetuning Surya OCR.
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## Data Requirements
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Image column: The input images (full pages, blocks, or single text lines — mix freely).
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Text column: The transcription corresponding to each image.
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For math content, ensure <math display="inline"></math> or <math display="block"></math> tags are wrapped around the latex
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## Surya OCR supports:
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Various aspect ratios
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Different image types and qualities
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Full-page documents
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Cropped blocks of text
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Single-line snippets
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The base surya model is trained on a wide range of samples from all these categories, and you can combine any of these types in your training dataset for more robust performance, as demonstrated in this example dataset.
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